4,404 research outputs found

    Energy Issues under Deregulated Environment

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    Consequences of Electricity Restructuring on the Environment: a Survey

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    The aim of this paper is to assess theoretical consequences of restructuring electricity markets on the environment. We examine changes in potential behaviours in consumption-side as well as in supply-side. We show that restructuring and following access to competition is not neutral from an environmental standpoint. Deregulation could induce some negative externalities due to requirements in cost-effciency. The principal result of this paper is the need of strong incentives in public policies to compensate the new short-term horizon in which energy sector's firms are evolving, particularly concerning R&D.ELECTRICITY RESTRUCTURING; ENVIRONMENT; GREENHOUSE GAS EMISSIONS; REGULATION; INNOVATION.

    Incentive Regulation in Theory and Practice: Electricity Distribution and Transmission Networks

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    Modern theoretical principles to govern the design of incentive regulation mechanisms are reviewed and discussed. General issues associated with applying these principles in practice are identified. Examples of the actual application of incentive regulation mechanisms to the regulation of prices and service quality for 'unbundled' transmission and distribution networks are presented and discussed. Evidence regarding the performance of incentive regulation in practice for electric distribution and transmission networks is reviewed. Issues for future research are identified.

    Free entry in infrastructure

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    With a policy of free entry, individuals, firms, or community groups who wish to supply power, water, and sanitation services can do so with minimal legal restrictions. Free entry is the opposite of"exclusivity"or"legal monopoly". Free entry is allowed in most industries, but governments usually allow only one provider of power, water, and sanitation in any given area. This is supposed to prevent wasteful duplication and ensure a supply of essential services to poor and marginal areas. But monopoly water and power utilities often operate at high cost, lack funds to invest, and provide low-quality, unreliable service. Worse, poor and marginal areas are often unserved. When the monopoly model doesn't work, it is time to look at alternatives. The authors provide examples of alternative solutions in developing countries: *In Karachi, Pakistan, the Orangi Pilot Project provides sanitation in an unplanned settlement. Roughly 800,000 working class people lived in an area where sanitary conditions were medievaland a long-hoped-for sewerage system never came. Starting in 1980, a charitable group developed a low-cost approach to piped sanitation, explained the technology to the community, and catalyzed community action. Householders and neighborhoods funded the construction of household pourflush latrines and sewerage lines. * In Paraguay, 300 to 400 private individuals and aguateros supply good quality piped water to areas unserved by the public water company. Unlike the public company, the aguateros allow payment of connection fees on installment, making it easier for low-income consumers to connect. * In Yemen, small-scale electricity providers innovatively meet the rural and village demand for electricity that the public utility does not meet. These entrants seldom duplicate investments, although some government intervention to ensure interconnection could improve efficiency. Limitations on entry may sometimes be justified for environmental reasons or to promote private sector investment, but those cases are rare. Legalizing alternative providers will allow them to expand and meet new needs. Limits on their entry may be needed sometimes, but limits should be the exception, not the rule, the authors argue. Generally, free entry should be allowed in power, water, and sanitation.Health Economics&Finance,Decentralization,Water and Industry,Economic Theory&Research,Environmental Economics&Policies,Town Water Supply and Sanitation,Environmental Economics&Policies,Health Economics&Finance,Water and Industry,Economic Theory&Research

    Integrated Natural Gas-Electricity Resource Adequacy Planning In Latin America

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    Demand Response Strategy Based on Reinforcement Learning and Fuzzy Reasoning for Home Energy Management

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    As energy demand continues to increase, demand response (DR) programs in the electricity distribution grid are gaining momentum and their adoption is set to grow gradually over the years ahead. Demand response schemes seek to incentivise consumers to use green energy and reduce their electricity usage during peak periods which helps support grid balancing of supply-demand and generate revenue by selling surplus of energy back to the grid. This paper proposes an effective energy management system for residential demand response using Reinforcement Learning (RL) and Fuzzy Reasoning (FR). RL is considered as a model-free control strategy which learns from the interaction with its environment by performing actions and evaluating the results. The proposed algorithm considers human preference by directly integrating user feedback into its control logic using fuzzy reasoning as reward functions. Q-learning, a RL strategy based on a reward mechanism, is used to make optimal decisions to schedule the operation of smart home appliances by shifting controllable appliances from peak periods, when electricity prices are high, to off-peak hours, when electricity prices are lower without affecting the customer’s preferences. The proposed approach works with a single agent to control 14 household appliances and uses a reduced number of state-action pairs and fuzzy logic for rewards functions to evaluate an action taken for a certain state. The simulation results show that the proposed appliances scheduling approach can smooth the power consumption profile and minimise the electricity cost while considering user’s preferences, user’s feedbacks on each action taken and his/her preference settings. A user-interface is developed in MATLAB/Simulink for the Home Energy Management System (HEMS) to demonstrate the proposed DR scheme. The simulation tool includes features such as smart appliances, electricity pricing signals, smart meters, solar photovoltaic generation, battery energy storage, electric vehicle and grid supply.Peer reviewe
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